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Senior Principal Engineer
5 months ago
Marsh McLennan Corporate Technology is seeking candidates for the following position based in the Mumbai/Pune office:
Senior Principal Engineer - Digital Visualisation & Data Analytics Development (Business Intelligence)
What can you expect?
- A platform to develop digital/web based data analytics products using advance analytics and BI Tools to provide business actionable insights to support their go to market strategy and build new prospects or support current.
- A chance to work with Industry leaders, global clients and access to latest trends in Health business globally.
- Joining a team of data scientist and data visualization experts with an avg exp of 9 yrs in the business.
- On job training on real client projects with mentoring/training from experts.
What is in it for you?
- Discover what's great about working at Marsh and McLennan Companies – from the opportunities that our size brings, to our commitment to our communities and understanding the benefits you’ll receive. We are four businesses with one PURPOSE: helping companies meet the challenges of our time.
- As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organisation. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference.
- Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right.As a Marsh and McLennan Company colleague, you will also receive additional benefits such as:
- A competitive salary
- Employee friendly policies
- Health care and insurance for you and your dependants
- Healthy Work life balance
- A great working environment
- Flexible benefits packages to suit your needs and lifestyle
- Future career opportunities across a global organization
We will count on you to:
Developing digital/web based data analytics products for multinational clients groups. Also, generate efficiency & productivity by automating the internal processes for the business.
- Hands-on exp. of latest analytics & BI Tools
- Strong skills in concept building and ability to build data orientated products and knowledge of taking IT products to market.
- Self-service analytics products, BI Dashboards, Automation and analyse disparate data sets together for patterns and insights.
- Exploratory data analytics, Predictive models that forecast behaviors and cost and Data story telling by using the best-in-class BI tools
- Analytics orientated consulting/advisory services to help on the path of data analytics & visualisation.
What you need to have:
- BE/B Tech in Computer Science or Bachelor/ Master’s Degree in Math’s or Statistics
- Previous experience in analytics team, building/creating insightful Dashboards using best-in-class Analytics and Visualization tools and automating the processes.
- Up to 3 to 6 years of progressive experience in Data Analytics, Automation, Data Science -analysing large complex data sets, using a variety of IT Skills, advanced modelling techniques and creating complete insightful data story using state of art BI tools & techniques.
- Hands-on exp. In Analytics & Automation using R/Python ( working exp. on modules like Selenium & Beautiful Soup) / VBA techniques to build Model (Good to have ), Validate and implement and BI tools –Power BI OR Qliksense. For sure having a good data science knowledge by working on some real projects.
- Proficiency in extracting data from multiple data sources – Web, PDF, Excel or any database with broad working knowledge of methodologies used for analytics is required.
What makes you stand out?
- Degree or Certification in BI tools (Power BI or Qliksense), Data Science or Analytics ( would be preferred )
- Experience or Knowledge of Financial market, Automation, AI & Machine Learning
Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s more than 85,000 colleagues advise clients in over 130 countries. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data-driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com, or follow us on LinkedIn and X.
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person